Title :
Research on optimal equipment allocation in container terminal
Author :
Gao, Hongli ; Liu, Junchao
Author_Institution :
College of Transport & Communication, Shanghai Maritime University, Shanghai China
Abstract :
The Handling Technology in container terminals apron is more in line with closed Markov queuing model assumptions, We use an approximate mean-value algorithm to evaluate the closed Markov queuing model of performance indicators, take Crane´s efficiency and the waste cost of the machinery as optimization target, solve the optimal allocation of mechanical equipment, and this method can support the decision about the optimal equipment allocation in container terminals.
Keywords :
Containers; Loading; Markov processes; Nickel; Queueing analysis; Resource management; Silicon; closed Markov; container terminal; machinery and equipment; optimal allocation;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5881366
